Title :
A Study on Malicious Codes Pattern Analysis Using Visualization
Author :
Lee, Donghwi ; Song, In Soo ; Kim, Kuinam J. ; Jeong, Jun-hyeon
Author_Institution :
Dept. of Ind. Security, Kyonggi Univ., Suwon, South Korea
Abstract :
The expansion of internet technology has made convenience. On the one hand various malicious code is produced. The number of malicious codes occurrence has dramatically increasing, and new or variant malicious code circulation very serious, So it is time to require analysis about malicious code. The being so malicious code pattern extract for malicious code properties of anti-virus company. Visualization possible to make one image for thousands upon thousands of malicious code. and It is possible to extract unseen pattern. Therefore this paper of object is various malicious code analysis besides new or variant malicious code type or form deduction using visualization of strong. Thus this paper proposes unseen malicious code pattern extract.
Keywords :
Internet; computer viruses; pattern recognition; security of data; Internet technology; anti-virus company; malicious codes pattern analysis; visualization; Binary codes; Cancer; Companies; Data mining; Data visualization; Security; Visualization;
Conference_Titel :
Information Science and Applications (ICISA), 2011 International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-9222-0
Electronic_ISBN :
978-1-4244-9223-7
DOI :
10.1109/ICISA.2011.5772330